fence-agents-vmware

Fence Agents for Red Hat Cluster - VMware agent

Red Hat Fence Agents is a collection of scripts to handle remote power management for several devices. They allow failed or unreachable nodes to be forcibly restarted and removed from the cluster.

fence-agents-vmware-soap

Fence Agents for Red Hat Cluster - VMware SOAP API agent

Red Hat Fence Agents is a collection of scripts to handle remote power management for several devices. They allow failed or unreachable nodes to be forcibly restarted and removed from the cluster.

fence-agents-wti

Fence Agents for Red Hat Cluster - WTI Network Power Switch agent

Red Hat Fence Agents is a collection of scripts to handle remote power management for several devices. They allow failed or unreachable nodes to be forcibly restarted and removed from the cluster.

fence-agents-xenapi

Fence Agents for Red Hat Cluster - Citrix XenServer agent

Red Hat Fence Agents is a collection of scripts to handle remote power management for several devices. They allow failed or unreachable nodes to be forcibly restarted and removed from the cluster.

python3-onnxruntime

cross-platform inference and training ML accelerator (Python bindings)

ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models, with an open extensible architecture to continually address the latest developments in AI and Deep Learning. ONNX Runtime stays up to date with the ONNX standard with complete implementation of all ONNX operators, and supports all ONNX releases (1.2+) with both future and backwards compatibility. Please refer to this page for ONNX opset compatibility details.

python3-amgcl

Solves large sparse linear systems with algebraic multigrid method

AMG is one of the most effective iterative methods for solution of equation systems arising, for example, from discretizing PDEs on unstructured grids. The method can be used as a black-box solver for various computational problems, since it does not require any information about the underlying geometry. AMG is often used not as a standalone solver but as a preconditioner within an iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES).